Duncan A. Lockerby

2.8k total citations
104 papers, 2.2k citations indexed

About

Duncan A. Lockerby is a scholar working on Computational Mechanics, Applied Mathematics and Biomedical Engineering. According to data from OpenAlex, Duncan A. Lockerby has authored 104 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computational Mechanics, 45 papers in Applied Mathematics and 30 papers in Biomedical Engineering. Recurrent topics in Duncan A. Lockerby's work include Gas Dynamics and Kinetic Theory (45 papers), Lattice Boltzmann Simulation Studies (30 papers) and Fluid Dynamics and Turbulent Flows (26 papers). Duncan A. Lockerby is often cited by papers focused on Gas Dynamics and Kinetic Theory (45 papers), Lattice Boltzmann Simulation Studies (30 papers) and Fluid Dynamics and Turbulent Flows (26 papers). Duncan A. Lockerby collaborates with scholars based in United Kingdom, United States and Australia. Duncan A. Lockerby's co-authors include Jason M. Reese, Matthew K. Borg, James E. Sprittles, M. A. Gallis, David R. Emerson, Robert W. Barber, Peter W. Carpenter, Livio Gibelli, Christopher Davies and Anirudh Singh Rana and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Duncan A. Lockerby

101 papers receiving 2.1k citations

Peers

Duncan A. Lockerby

Masoud Darbandi Iran

Aiguo Xu China

John C. Chai Singapore

Xiao-Jun Gu United Kingdom

Chris R. Kleijn Netherlands

Ali Mani United States

Stefan Stefanov Bulgaria

R. L. Sani United States

Gunilla Kreiss Sweden

J. M. Montanero Spain

Masoud Darbandi Iran

Duncan A. Lockerby

1.2k ×0.9

747 ×0.9

314 ×0.5

546 ×1.6

153 ×0.5

Citations per year, relative to Duncan A. Lockerby Duncan A. Lockerby (= 1×) peers Masoud Darbandi

Countries citing papers authored by Duncan A. Lockerby

Since Specialization

Citations

This map shows the geographic impact of Duncan A. Lockerby's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Duncan A. Lockerby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan A. Lockerby more than expected).

Fields of papers citing papers by Duncan A. Lockerby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duncan A. Lockerby. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Duncan A. Lockerby. The network helps show where Duncan A. Lockerby may publish in the future.

Co-authorship network of co-authors of Duncan A. Lockerby

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan A. Lockerby. A scholar is included among the top collaborators of Duncan A. Lockerby based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Duncan A. Lockerby. Duncan A. Lockerby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Vasileiadis, Nikos, et al.. (2025). uniGasFoam: A particle-based OpenFOAM solver for multiscale rarefied gas flows. Computer Physics Communications. 310. 109532–109532. 4 indexed citations

Lockerby, Duncan A.. (2025). First-order analysis of slip flow for micro and nanoscale applications. SHILAP Revista de lepidopterología. 5. 1 indexed citations

Vasileiadis, Nikos, et al.. (2025). A far-field boundary condition for measuring drag force on micro/nano particles. Journal of Computational Physics. 535. 114034–114034.

Lockerby, Duncan A., et al.. (2024). The method of fundamental solutions for multi-particle Stokes flows: Application to a ring-like array of spheres. Journal of Computational Physics. 520. 113487–113487. 1 indexed citations

Vasileiadis, Nikos, Craig White, Livio Gibelli, et al.. (2024). A DSMC-CFD coupling method using surrogate modelling for low-speed rarefied gas flows. Journal of Computational Physics. 520. 113500–113500. 4 indexed citations

Lockerby, Duncan A., et al.. (2024). Collision of liquid drops: bounce or merge?. Journal of Fluid Mechanics. 995. 9 indexed citations

Sprittles, James E., et al.. (2023). Rogue nanowaves: A route to film rupture. Physical Review Fluids. 8(9). 10 indexed citations

Lockerby, Duncan A.. (2022). Integration over discrete closed surfaces using the Method of Fundamental Solutions. Engineering Analysis with Boundary Elements. 136. 232–237. 2 indexed citations

Gibelli, Livio, et al.. (2020). Velocity distribution function of spontaneously evaporating atoms. Physical Review Fluids. 5(10). 19 indexed citations

10.

Zhang, Yixin, James E. Sprittles, & Duncan A. Lockerby. (2020). Nanoscale thin-film flows with thermal fluctuations and slip. Physical review. E. 102(5). 53105–53105. 20 indexed citations

11.

Xie, Jianfei, Matthew K. Borg, Livio Gibelli, et al.. (2019). Effective mean free path and viscosity of confined gases. Physics of Fluids. 31(7). 25 indexed citations

12.

Rana, Anirudh Singh, Duncan A. Lockerby, & James E. Sprittles. (2019). Lifetime of a Nanodroplet: Kinetic Effects and Regime Transitions. Physical Review Letters. 123(15). 154501–154501. 21 indexed citations

13.

Stephenson, David B., James R. Kermode, & Duncan A. Lockerby. (2018). Accelerating multiscale modelling of fluids with on-the-fly Gaussian process regression. Microfluidics and Nanofluidics. 22(12). 139–139. 11 indexed citations

14.

Longshaw, Stephen, Matthew K. Borg, Srinivasa B. Ramisetti, et al.. (2017). mdFoam+: Advanced molecular dynamics in OpenFOAM. Computer Physics Communications. 224. 1–21. 19 indexed citations

15.

Stephenson, David B. & Duncan A. Lockerby. (2016). A generalized optimization principle for asymmetric branching in fluidic networks. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 472(2191). 20160451–20160451. 6 indexed citations

16.

Mattia, Davide, Ben Corry, Duncan A. Lockerby, David Emerson, & Jason M. Reese. (2015). Nanostructured carbon membranes for breakthrough filtration applications: advancing the science, engineering and design. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 374(2060). 2 indexed citations

17.

Lockerby, Duncan A., et al.. (2014). Asynchronous coupling of hybrid models for efficient simulation of multiscale systems. Journal of Computational Physics. 284. 261–272. 13 indexed citations

18.

Alexiadis, Alessio, Duncan A. Lockerby, Matthew K. Borg, & Jason M. Reese. (2013). A Laplacian-based algorithm for non-isothermal atomistic-continuum hybrid simulation of micro and nano-flows. Computer Methods in Applied Mechanics and Engineering. 264. 81–94. 15 indexed citations

19.

Borg, Matthew K., Duncan A. Lockerby, & Jason M. Reese. (2012). Fluid flows in nano/micro network configurations: a multiscale molecular-continuum approach. Bulletin of the American Physical Society.

20.

Lockerby, Duncan A., Jason M. Reese, David R. Emerson, & Robert W. Barber. (2004). Velocity boundary condition at solid walls in rarefied gas calculations. Physical Review E. 70(1). 17303–17303. 226 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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